Sunday, May 29, 2022

Enabling the Enterprise Financial Data Cloud

Cory Albert (Global Head of Cloud Strategy, Bloomberg Enterprise Data) talks about delivering cloud services to the financial services industry, new cloud delivery models, and innovations on the horizon. 

SHOW: 621

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SHOW NOTES:


Topic 1 - Welcome to the show. Bloomberg is one of the most recognized companies in the world. Let’s talk a little bit about your background and where your focus is today.

Topic 2 - Help us understand the scope of Bloomberg’s role in the overall financial markets, in terms of delivering data to clients and partners. 

Topic 3 - The demands of financial markets (latency, data volume, security, etc.) have previously mandated that resources be local (on-prem, specialized co-lo facilities, etc.), but we’re hearing more and more about how financial services are leveraging the public cloud. Can you talk about how this hybrid cloud model might be impacting data management? 

Topic 4 - As we look out a few years, how do you see shifts in cloud delivery models potentially reshaping how financial services data is used, delivered, protected, etc? What are some of the future trends that you’re keeping your eyes on? 

Topic 5 - There is a ton of innovation happening around the financial services markets, from how services are delivered to who is using the services. How do these changes shape the way that Bloomberg has to partner with other companies to remain innovative and competitive? 

Topic 6 - You’re a veteran of the financial services industry. What are some of the interesting areas that you’re seeing for new people coming into the industry where they might have an opportunity to potentially shape the future of financial markets? 


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Wednesday, May 25, 2022

Scalable, Serverless Database Platforms

Sam Lambert (@isamlambert, CEO @PlanetScaledata) talks about building a cloud-native SQL database from first principles, and how to eliminate the things people hate about database operations. This is cool stuff! 

SHOW: 620

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SHOW NOTES:

Topic 1 - Welcome to the show. In less than 10 years, you’ve had quite a career rise from “MySQL DBA” to some very high-profile roles. Tell us a little bit about your background, and where you focus now as CEO of PlanetScale. 

Topic 2 - There have been an explosion of “Internet-scale” databases over the last 5 years. Where is the market today for these technologies?  

Topic 3 - Scaling databases is difficult. Scaling them while still allowing compatibility with known skills is even harder. PlanetScale builds upon a project called Vitess.  Walk us through the journey of how Vitress got started to where it is today. 

Topic 4 - What do developers want to know about databases? What do they wish they could ignore or not worry about?  

Topic 5 -  In today’s world, what’s the right balance between what developers want and what’s needed under the covers (e.g. Ops, scaling, security, etc.) to make sure the data is always available? What are some of the quantum leaps that PlanetScale has taken to eliminate previous problems? 

Topic 6 - What are some (customer) examples of things that PlanetScale does now that you wish you had in your previous DBA roles? 

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Sunday, May 22, 2022

Managing Thru Economics Downturns

As we wade into global economic uncertainty, let's look at what we can learn from previous (2001, 2008) economic downturns and how they impacted the tech industry.

SHOW: 619

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  • Manage access to any server, database, or Kubernetes instance in minutes. Fully auditable, replayable, secure, and drag-and-drop easy. Try it free for 14 days - www.strongdm.com/signup
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SHOW NOTES:

WHAT CAN WE LEARN FROM PAST ECONOMIC DOWNTURNS AND HOW THEY IMPACT THE TECH INDUSTRY

LESSONS FROM PREVIOUS ECONOMIC DOWNTURNS

  • Get your finances in order
  • Make sure you're aligned to near-term business needs
  • Invest in yourself (health, family, learning, etc.)
  • Align with communities and mentors


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Wednesday, May 18, 2022

Running a Large-Scale SaaS Platform

Danny Fields (CTO/EVP @Avalara) talks about operating large SaaS environments, customizations for customer demands, and transitioning from traditional software. 

SHOW: 618

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SHOW NOTES:

Topic 1 - Welcome to the show. You’ve got a very broad background in engineering and leadership roles. Can you share with us a little bit of your evolution, and where you focus your time at Avalara?

Topic 2 - Give us a little bit of background on Avalara (SaaS for Tax Compliance), and a little bit of details on what it means to run a SaaS platform for such a complex product offering? 

Topic 3 - You’ve been involved in a number of different SaaS platforms over the years. What are some of the biggest changes and challenges you face in running modern SaaS platforms today?

Topic 4 - Taxes are a very complex ecosystem, especially with all the variants around the world. How does a product team think about balancing the desire to deliver a consistent experience (SaaS operations) and customer demands for uniqueness?

Topic 5 - How do you think about balancing optimizations around Operations and taking advantage of all the new innovations happening in open-source, or from the cloud-providers, or just internal capabilities from your team? 

Topic 6 - Any tips for anyone looking to get into SaaS operations, or transitions from traditional data center software delivery? 

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Sunday, May 15, 2022

Logging Governance and Sensitive Data

Pranay Kamat (Prod Mgmt @datadoghq) talks about the challenges is protecting sensitive data, internal vs. external attacks, evolution of DLP, the role of Governance in DevSecOps. 

SHOW: 617

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  • Revelo: Sidestep the competitive US talent market by hiring remote engineers in Latin America. Source, hire, and pay Latin American engineers in US time zones with one service. Revelo manages all the paperwork including benefits, payroll, and compliance. Hire a full-time engineer with a 14-day trial. Revelo.com/cloudcast
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SHOW NOTES:

Topic 1 - Welcome to the show. Let’s talk about your background and the areas where you focus at Datadog. 

Topic 2 - We continuing to see headlines about critical data being stolen, which is a trend that doesn’t seem to be slowing down. Give us a picture of where we are with the problems that are still causing this, and what new things companies can do to prevent it.

Topic 3 - Where are some of the differences between traditional Data Loss Prevent (DLP) strategies and strategies that proactively look at logs to identify data access and breaches? 

Topic 4 - We often think about attacks coming from the outside, but oftentimes attacks happen from inside the house (directly or indirectly). How important is it to be able to control access to logs and what is visible within logs to prevent internal attacks and vulnerabilities?  

Topic 5 - What are some of the more dynamic, modern ways to identify sensitive traffic and tag it properly so systems can act on it? 

Topic 6 - It’s often said that security is everyone’s issue. In modern teams (DevOps, DevSecOps, etc.), where are you seeing as the owner of this Governance and Sensitive data?



Wednesday, May 11, 2022

Simplifying Cloud for Developers

Raman Sharma (@rasharm_, VP Product & Programs Marketing @DigitalOcean) talks about the evolution of Digital Ocean, the right tools for developers, and managing simplicity and scale.


SHOW: 616

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SHOW NOTES:

Topic 1 - Welcome to the show. Your career has followed a parallel path to the evolution of the cloud. Let’s talk a little bit about your background, and especially your involvement with developers. 

Topic 2 - It’s been a while since we last had DigitalOcean on the show. Before we dive into the technology stack, let’s talk about how DigitalOcean thinks about developer needs. 

Topic 3 - Compute, Storage, Networking, Databases, Kubernetes, PaaS, Marketplace. Walk us through where DigitalOcean helps developers make it simple to use these primitives. 

Topic 4 - What do developers ask you for next? Is it more capabilities, or different pricing, or something else to make their lives easier? 

Topic 5 - What do your customer’s teams look like? Do they align to the primitives (e.g. cloud infrastructure teams), or is it more “you build it you run it”, or something else?

Topic 6 - Where are some of the areas where DigitalOcean is focused or sees new opportunities in 2022 and beyond?

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Sunday, May 8, 2022

Explaining Technical Topics - Service Mesh

In this new series, we’ll look at ways to explain complex technical topics. This week we’re looking at Service Mesh. 

SHOW: 615

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SHOW NOTES:

HOW DOES A SERVICE MESH WORK? WHEN SHOULD YOU CONSIDER ONE?

A service mesh is a dedicated infrastructure layer for facilitating service-to-service communications between services or microservices, using a proxy.   

LET’S EXPLAIN HOW SERVICE MESH WORKS.

We explain service mesh using a family household analogy, and how it changes over time. We relate this back to how an application evolves from a monolith to microservices. 

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Wednesday, May 4, 2022

Cloud Marketplaces

John Jahnke (CEO of @Tackleio) talks about the rise of Cloud Marketplaces, the evolution of B2B purchasing for cloud products, and the relationship between software vendors and cloud providers. 

SHOW: 614

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SHOW NOTES:

Topic 1 - Welcome to the show. Tell us a little bit about your background. And please give us a quick overview of Tackle.

Topic 2 - Everybody knows about the 100s of services that get announced by the major hyperscalers each year, but not as many people are aware that there’s more to the cloud than native services. Where do cloud marketplaces fit into the cloud ecosystem, and how have they evolved over the years?  

Topic 3 - If we wanted to explain the value of a cloud marketplace to someone, what value does it provide to the various parties involved - the cloud, the marketplace owner, the software company using a marketplace, the customers using a marketplace?

Topic 4 - Can you walk us through the process of how a software company engages with a marketplace? Are they working to get their software into 3rd-party marketplaces, or building their own marketplaces, or something else?

Topic 5 - How do the Tackle marketplaces different from the AWS, Azure or GCP marketplaces? 

Topic 6 - What are the best ways for companies to create a plan to leverage cloud marketplaces to better reach customers and specific markets? 

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Sunday, May 1, 2022

SLOs for Everyone

No Brian (Gracely) for a Sunday Perspective this week. We have Brian Singer (@brian_singer, CPO @nobl9inc) talking about Service Level Objectives (SLO), what they are, why they matter, and how to use SLOs to focus on innovation vs. technical debt.

SHOW: 613

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SHOW SPONSORS:

  • SLOConf - Free virtual event May 9th-12th - Register Today!
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  • Datadog Synthetic Monitoring: Frontend and Backend Modern Monitoring
  • Ensure frontend issues don’t impair user experience by detecting user-facing issues with API and browser tests with a free 14 day Datadog trial. Listeners of The Cloudcast will also receive a free Datadog T-shirt. 
  • strongDM - Secure infrastructure access for the modern stack. 
  • Manage access to any server, database, or Kubernetes instance in minutes. Fully auditable, replayable, secure, and drag-and-drop easy. Try it free for 14 days - www.strongdm.com/signup

SHOW NOTES:

Topic 1 - Brian, welcome to the show! We had Alex on the podcast last year and look forward to continuing the SLO conversation. Give everyone a brief introduction.

Topic 2 - If someone isn’t familiar with SLO’s (Service Level Objectives), how do you define them? Why do they matter? What problem do they solve? How are they different from SLA’s?

Topic 3 - Is this a transition from max reliability to instead look at errors as a “budget”? How can you manage a certain window of unreliability and keep customers happy? 

Topic 4 - How do you create SLOs? Who creates them? Is this an SRE connecting up to existing systems or new tooling and plumbing? Does it fit into an existing GitOps workflow for instance - SLOs-as-Code? Is there automation triggers that happen when conditions are met?

Topic 5 - How does an SRE know which metrics matter? I would imagine not all downtime is equal? How does this correlate with business KPIs? Do you fine tune over time?

Topic 6 - The big question is always the focus on technical debt vs. innovation. Does this help and if so how?

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